• DocumentCode
    2467894
  • Title

    The Application of DEA in the Risk Assessment of the Supply Chain Partner

  • Author

    Weiyu, Chen ; Hui, Yu

  • Author_Institution
    Financial Dept., Beijing Wuzi Univ., Beijing, China
  • fYear
    2010
  • fDate
    17-19 Dec. 2010
  • Firstpage
    1341
  • Lastpage
    1344
  • Abstract
    Various enterprises in the supply chain are inevitably linked on purpose of the existence of value-added. However, each company has been in the pursuit of self-interest maximization, making that there are potential conflicts of interest among the stakeholders in the supply chain. Therefore, it is necessary to study the risk among the supply chain partners, which makes this the normal functioning of the supply chain. DEA method is applied to the risk assessment of the supply chain partners in this article, then we can determine the validity of DEA decision-making unit, at the same time, we can also determine the overall size of the effect of the supply chain. Enterprises can develop strategies basing on the results, ultimately, to avoid the risk of the entire supply chain to achieve the goal of maximizing efficiency in the premise of ensuring their own interests.
  • Keywords
    data envelopment analysis; decision making; optimisation; organisational aspects; risk management; supply chain management; DEA decision-making unit; enterprises; maximizing efficiency; normal functioning; potential conflicts of interest; risk assessment; self-interest maximization; stakeholders; supply chain partner; Biological system modeling; Decision making; Indexes; Marketing and sales; Risk management; Supply chains; DEA; risk assessment; supply chain;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computational and Information Sciences (ICCIS), 2010 International Conference on
  • Conference_Location
    Chengdu
  • Print_ISBN
    978-1-4244-8814-8
  • Electronic_ISBN
    978-0-7695-4270-6
  • Type

    conf

  • DOI
    10.1109/ICCIS.2010.353
  • Filename
    5709532